light_head_rcnn
Object detector
A research project providing a deep learning-based object detection framework
Light-Head R-CNN
835 stars
47 watching
222 forks
Language: Jupyter Notebook
last commit: about 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of Faster R-CNN detection framework in PyTorch | 1,816 |
| A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
| An implementation of Faster R-CNN using MXNet for object detection tasks | 671 |
| An implementation of Faster R-CNN object detection in PyTorch, modified from DenseCap. | 85 |
| Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 |
| A MATLAB implementation of an object detection framework that leverages deep fully convolutional networks to accurately and efficiently detect objects in images. | 1,245 |
| An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
| A custom implementation of Faster R-CNN with ResNet architecture and Online Hard Example Mining. | 207 |
| An experimental implementation of a real-time object detection system using a neural network with region proposal generation. | 122 |
| A deep learning framework for object detection tasks using a novel neural network architecture | 355 |
| A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
| An implementation of a deep learning model for object detection and segmentation in images | 292 |
| An implementation of Mask R-CNN using MXNet and Resnet-50-FPN for object detection and segmentation in images. | 1,755 |
| A deep learning framework for 3D object detection from RGB-D data | 1,598 |
| A Python-based implementation of a single-shot object detection algorithm using Mask R-CNN architecture. | 339 |